Abstract Paper aims This study has the objective of mapping and empirically validating KPIs that can be used to assess healthcare supply chain risks. Originality We combined two methodological approaches: i) we conducted a systematic literature review to identify the healthcare supply chain risk assessment KPIs and ii) We grouped these KPIs into five constructs and validated their relations using PLS-SEM. Research method This is the only study that presents a systematic literature review to identify KPIs that measure healthcare supply chain risks, groups the KPIs into a theoretical framework, and presents a PLS-SEM validation. This study used data from Brazil, from a variety of healthcare supply chain organizations (suppliers, OEMs, clinics, and hospitals), therefore we cannot guarantee that the study can be generalized. Main findings The systematic literature review identified 27 KPIs which were grouped into five constructs. The structural model supported by the PLS-SEM technique revealed that reliability, responsiveness, costs, and agility are antecedents to healthcare supply chain quality. Implications for theory and practice Managers may rely upon this study to understand that healthcare supply chain reliability and responsiveness are antecedents to healthcare supply chain costs and agility, which are antecedents to healthcare supply chain quality. risks approaches i ii PLSSEM. PLSSEM PLS SEM. SEM framework validation Brazil suppliers, suppliers (suppliers OEMs clinics hospitals, hospitals , hospitals) generalized 2 quality

Assumindo como premissa a integração com outro modal de transporte e como origem a cidade de Sorriso, maior produtora de soja do estado do MT, o modelo matemático de minimização de custo de transporte intermodal origem-destino, foi aplicado. Para tal, utilizou-se o software de otimização GUSEK, que permite a solução de modelos de Programação Linear e Programação Linear Inteira Mista. Seis rotas intermodais foram encontradas e o número de viagens para os portos de destino foram: Santos - SP (26.277.800 viagens/ano -modais: Rodoviário - Ferroviário), Paranaguá - PR (4.865.560 viagens/ano - modais: Rodoviário -Ferroviário), São Francisco do Sul - SC (8.278.890 viagens/ano - modais: Rodoviário - Ferroviário), Vitória - ES (4.062.220 viagens/ano - modais: Rodoviário - Ferroviário), Manaus - AM (7.990.830 viagens/ano - modais: Rodoviário -Hidroviário) e São Luiz - MA (226.667 viagens/ano - modais: Rodoviário -Ferroviário).

Assuming as a premise the integration with another transportation mode, and assuming the city of Sorriso, the greatest soy manufacturer of the State of MT as the origin, the intermodal mathematic model of minimization of origin-destination transportation cost was applied. For such, the optimization software GUSEK was used, which allows the solution of models of Linear Programming or Mixed Integer Linear Programming. Six intermodal routes were found and the number of voyages for the destination ports were: Santos - SP (26.277.800 voyages/year - modes: Road -Railway), Paranaguá - PR (4.865.560 voyages/year- modes: Road - Railway), São Francisco do Sul - SC (8.278.890 voyages/year- modes: Road - Railway), Vitória - ES (4.062.220 voyages/year - modes: Road - Railway), Manaus - AM (7.990.830 voyages/year - modes: Road - Waterway) e São Luiz - MA (226.667 voyages/year - modes: Road -Railway).

This work aims to explore a novel framework to analyze the planning concepts in product development projects employing techniques to reduce the lead-time of activities, such as overlapping of a pair of each. With the System Dynamics methodology, a model to evaluate the rework fraction, needed to accommodate the deviations proportional to the overlapping grade of the activities, is developed. A numerical example is provided to demonstrate the validity of the model. Although problems encountered during the project management are dynamic, they have been treated on a static basis, what has as result, chronic schedules delays, overruns and cost overspent persist in follow the managers' (re)actions. In this work, we have addressed this known problem by introducing and reviewing some characteristics of the concept of rework in overlapped schedules. This consists in observe and capture the relations feedbacks among the original planned project schedule, the overlapping strategy and the inherent uncertainty in a work being done with poor information. To realize this concept, we have faced with many behaviors patterns (e.g. rework, new duration, non-conformity), and analyze the output behavior pattern, produced by the proposed model.